Subchannel Allocation Scheme for Two-tire Femtocell Networks Based on Q-learning

YANG Xiuqing; CHEN Yu; LI Zhengfu

doi:10.11999/JEIT160453

Volume 39 Issue 3

Mar. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(3): 598-604

YANG Xiuqing, CHEN Yu, LI Zhengfu. Subchannel Allocation Scheme for Two-tire Femtocell Networks Based on Q-learning[J]. Journal of Electronics & Information Technology, 2017, 39(3): 598-604. doi: 10.11999/JEIT160453

Citation:

YANG Xiuqing, CHEN Yu, LI Zhengfu. Subchannel Allocation Scheme for Two-tire Femtocell Networks Based on Q-learning[J]. Journal of Electronics & Information Technology, 2017, 39(3): 598-604. doi: 10.11999/JEIT160453

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Subchannel Allocation Scheme for Two-tire Femtocell Networks Based on Q-learning

doi: 10.11999/JEIT160453

1.
(School of Telecommunication Engineering, Beijing Polytechnic, Beijing 100176, China)
2.
(School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing 100876, China)

Funds:

The Science and Technology Projects of Beijing Municipal Education Commission(KM201710858003)

Received Date: 2016-05-03
Rev Recd Date: 2016-11-15
Publish Date: 2017-03-19

Abstract

Abstract

In order to improve the spectrum efficiency in the Femtocell home Base Station (FBS) heterogeneous network, FBS and Macrocell Base Station (MBS) are usually deployed with the same frequency. However, the same frequency deployment will inevitably lead to larger co-channel interference. In order to achieve the large-scale deployment of FBS, reducing the interference of the network with the channel is particularly important. In this paper, a sub channel allocation scheme is propsed based on Q-learning. It can ensure that FBS will not bring high cross-layer interference of MBS, while it reduces the same layer interference between two FBS. The simulation of the algorithm of FBS sparse deployment and dense deployment situation are performed, respectively. Simulation results show that this algorithm reduces the same layer interference and verifies the correctness of the theory.
- Femtocell,
- Two-tire networks,
- Q-learning,
- Subchannel allocation

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References(23)

References

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